From the course: Data Engineering: dbt for SQL

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Unit testing using dbt

Unit testing using dbt

From the course: Data Engineering: dbt for SQL

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Unit testing using dbt

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- [Tutor] Unit testing in dbt is a critical aspect of ensuring the accuracy, reliability, and consistency of data transformation pipelines. It involves testing individual data models in isolation to verify their correctness. By writing test cases that assess the expected behavior of each data model and comparing the actual results against the expected outcomes, dbt users can quickly identify and rectify data issues. The foundation of dbt's unit testing lies in the test macro, which allows users to define test cases directly within dbt models. These tests can check various aspects of the data, such as column data types, null values, uniqueness, and specific business logic as well. When dbt is run in test mode, it automatically executes all defined tests and reports any failures. A key benefit of unit testing in dbt is in its ability to rapidly detect data discrepancies. For example, consider a data model responsible for…

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